Cities with the Most Births per 1,000 Women in Labor Force in Maryland

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Highest Birth Rate | In Labor Force
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Maryland
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Comparison Subject

Map of Cities with the Most Births per 1,000 Women in Labor Force in Maryland

0.0
1,000.0
Cities with the Most Births per 1,000 Women in Labor Force in Maryland Map

Cities with the Most Births per 1,000 Women in Labor Force in Maryland

City Births / 1,000 Women vs State vs National
1. Friendship 1,000.0 50.0 (+950)#1 48.0 (+952)#17
2. Antietam 1,000.0 50.0 (+950)#2 48.0 (+952)#77
3. Dargan 636.0 50.0 (+586)#3 48.0 (+588)#173
4. Zihlman 500.0 50.0 (+450)#4 48.0 (+452)#242
5. Flintstone 500.0 50.0 (+450)#5 48.0 (+452)#244
6. Fishing Creek 405.0 50.0 (+355)#6 48.0 (+357)#385
7. Brookview 400.0 50.0 (+350)#7 48.0 (+352)#401
8. Aquasco 364.0 50.0 (+314)#8 48.0 (+316)#463
9. Corriganville 342.0 50.0 (+292)#9 48.0 (+294)#520
10. Edgemont 293.0 50.0 (+243)#10 48.0 (+245)#695
11. Konterra 265.0 50.0 (+215)#11 48.0 (+217)#820
12. Maryland Park 239.0 50.0 (+189)#12 48.0 (+191)#961
13. Cedar Heights 206.0 50.0 (+156)#13 48.0 (+158)#1,228
14. North Brentwood 200.0 50.0 (+150)#14 48.0 (+152)#1,275
15. Goldsboro 192.0 50.0 (+142)#15 48.0 (+144)#1,411
16. Piney Point 189.0 50.0 (+139)#16 48.0 (+141)#1,446
17. Leonardtown 171.0 50.0 (+121)#17 48.0 (+123)#1,713
18. Hughesville 157.0 50.0 (+107)#18 48.0 (+109)#2,004
19. Edmonston 153.0 50.0 (+103)#19 48.0 (+105)#2,102
20. Fairmount Heights 151.0 50.0 (+101)#20 48.0 (+103)#2,144
21. Marydel 150.0 50.0 (+100.0)#21 48.0 (+102)#2,172
22. Bladensburg 149.0 50.0 (+99.0)#22 48.0 (+101)#2,177
23. Mardela Springs 148.0 50.0 (+98.0)#23 48.0 (+100.0)#2,228
24. Easton 141.0 50.0 (+91.0)#24 48.0 (+93.0)#2,399
25. Shaft 140.0 50.0 (+90.0)#25 48.0 (+92.0)#2,447
26. Arden On The Severn 135.0 50.0 (+85.0)#26 48.0 (+87.0)#2,577
27. Accident 134.0 50.0 (+84.0)#27 48.0 (+86.0)#2,624
28. Garrett Park 133.0 50.0 (+83.0)#28 48.0 (+85.0)#2,644
29. Lansdowne 129.0 50.0 (+79.0)#29 48.0 (+81.0)#2,780
30. Andrews Afb 129.0 50.0 (+79.0)#30 48.0 (+81.0)#2,783
31. Woodlawn Cdp Prince George S County 125.0 50.0 (+75.0)#31 48.0 (+77.0)#2,906
32. Sudlersville 125.0 50.0 (+75.0)#32 48.0 (+77.0)#2,938
33. Abingdon 124.0 50.0 (+74.0)#33 48.0 (+76.0)#2,970
34. Kensington 122.0 50.0 (+72.0)#34 48.0 (+74.0)#3,053
35. Westernport 122.0 50.0 (+72.0)#35 48.0 (+74.0)#3,055
36. Mount Airy 119.0 50.0 (+69.0)#36 48.0 (+71.0)#3,157
37. Princess Anne 119.0 50.0 (+69.0)#37 48.0 (+71.0)#3,167
38. Paramount Long Meadow 119.0 50.0 (+69.0)#38 48.0 (+71.0)#3,170
39. Potomac Park 117.0 50.0 (+67.0)#39 48.0 (+69.0)#3,274
40. Baden 111.0 50.0 (+61.0)#40 48.0 (+63.0)#3,497
41. Pocomoke City 110.0 50.0 (+60.0)#41 48.0 (+62.0)#3,578
42. Perryman 110.0 50.0 (+60.0)#42 48.0 (+62.0)#3,591
43. Laytonsville 110.0 50.0 (+60.0)#43 48.0 (+62.0)#3,616
44. Washington Grove 110.0 50.0 (+60.0)#44 48.0 (+62.0)#3,617
45. Huntingtown 106.0 50.0 (+56.0)#45 48.0 (+58.0)#3,807
46. Fairplay 105.0 50.0 (+55.0)#46 48.0 (+57.0)#3,870
47. East New Market 105.0 50.0 (+55.0)#47 48.0 (+57.0)#3,877
48. Bartonsville 103.0 50.0 (+53.0)#48 48.0 (+55.0)#3,980
49. Lanham 102.0 50.0 (+52.0)#49 48.0 (+54.0)#4,038
50. South Kensington 100.0 50.0 (+50.0)#50 48.0 (+52.0)#4,147
51. Chevy Chase Section Five 100.0 50.0 (+50.0)#51 48.0 (+52.0)#4,186
52. Ferndale 98.0 50.0 (+48.0)#52 48.0 (+50.0)#4,294
53. Wilson Conococheague 96.0 50.0 (+46.0)#53 48.0 (+48.0)#4,449
54. Brentwood 95.0 50.0 (+45.0)#54 48.0 (+47.0)#4,483
55. Largo 93.0 50.0 (+43.0)#55 48.0 (+45.0)#4,626
56. Midland 93.0 50.0 (+43.0)#56 48.0 (+45.0)#4,678
57. Fulton 92.0 50.0 (+42.0)#57 48.0 (+44.0)#4,712
58. Ocean Pines 90.0 50.0 (+40.0)#58 48.0 (+42.0)#4,882
59. Burtonsville 90.0 50.0 (+40.0)#59 48.0 (+42.0)#4,885
60. Jarrettsville 90.0 50.0 (+40.0)#60 48.0 (+42.0)#4,906
61. Landover 89.0 50.0 (+39.0)#61 48.0 (+41.0)#4,937
62. Rock Hall 89.0 50.0 (+39.0)#62 48.0 (+41.0)#5,002
63. Waldorf 88.0 50.0 (+38.0)#63 48.0 (+40.0)#5,031
64. Flower Hill 87.0 50.0 (+37.0)#64 48.0 (+39.0)#5,134
65. Four Corners 87.0 50.0 (+37.0)#65 48.0 (+39.0)#5,145
66. Sykesville 87.0 50.0 (+37.0)#66 48.0 (+39.0)#5,154
67. Arbutus 86.0 50.0 (+36.0)#67 48.0 (+38.0)#5,214
68. Middle River 85.0 50.0 (+35.0)#68 48.0 (+37.0)#5,300
69. Hampstead 85.0 50.0 (+35.0)#69 48.0 (+37.0)#5,318
70. Martin S Additions 85.0 50.0 (+35.0)#70 48.0 (+37.0)#5,354
71. Lexington Park 84.0 50.0 (+34.0)#71 48.0 (+36.0)#5,379
72. Taneytown 84.0 50.0 (+34.0)#72 48.0 (+36.0)#5,385
73. Glenarden 84.0 50.0 (+34.0)#73 48.0 (+36.0)#5,387
74. Prince Frederick 84.0 50.0 (+34.0)#74 48.0 (+36.0)#5,403
75. Pittsville 84.0 50.0 (+34.0)#75 48.0 (+36.0)#5,407
76. Fort Meade 83.0 50.0 (+33.0)#76 48.0 (+35.0)#5,453
77. Cavetown 82.0 50.0 (+32.0)#77 48.0 (+34.0)#5,623
78. North Chevy Chase 82.0 50.0 (+32.0)#78 48.0 (+34.0)#5,626
79. Bowleys Quarters 81.0 50.0 (+31.0)#79 48.0 (+33.0)#5,660
80. West Ocean City 81.0 50.0 (+31.0)#80 48.0 (+33.0)#5,664
81. Preston 81.0 50.0 (+31.0)#81 48.0 (+33.0)#5,700
82. Clarksburg 80.0 50.0 (+30.0)#82 48.0 (+32.0)#5,720
83. Brunswick 80.0 50.0 (+30.0)#83 48.0 (+32.0)#5,744
84. Redland 79.0 50.0 (+29.0)#84 48.0 (+31.0)#5,826
85. Wildewood 79.0 50.0 (+29.0)#85 48.0 (+31.0)#5,851
86. Romancoke 78.0 50.0 (+28.0)#86 48.0 (+30.0)#5,983
87. Mount Aetna 78.0 50.0 (+28.0)#87 48.0 (+30.0)#6,017
88. Westminster 77.0 50.0 (+27.0)#88 48.0 (+29.0)#6,032
89. Union Bridge 77.0 50.0 (+27.0)#89 48.0 (+29.0)#6,100
90. Hagerstown 76.0 50.0 (+26.0)#90 48.0 (+28.0)#6,144
91. Rising Sun 76.0 50.0 (+26.0)#91 48.0 (+28.0)#6,184
92. Rossville 75.0 50.0 (+25.0)#92 48.0 (+27.0)#6,257
93. Springdale 75.0 50.0 (+25.0)#93 48.0 (+27.0)#6,279
94. Herald Harbor 75.0 50.0 (+25.0)#94 48.0 (+27.0)#6,288
95. Friendsville 75.0 50.0 (+25.0)#95 48.0 (+27.0)#6,342
96. La Plata 74.0 50.0 (+24.0)#96 48.0 (+26.0)#6,381
97. Seabrook 72.0 50.0 (+22.0)#97 48.0 (+24.0)#6,586
98. Riverdale Park 71.0 50.0 (+21.0)#98 48.0 (+23.0)#6,693
99. Cheverly 71.0 50.0 (+21.0)#99 48.0 (+23.0)#6,696
100. Charlestown 71.0 50.0 (+21.0)#100 48.0 (+23.0)#6,715

Common Questions

What are the Top 10 Cities with the Most Births per 1,000 Women in Labor Force in Maryland?
Top 10 Cities with the Most Births per 1,000 Women in Labor Force in Maryland are:
#1
1,000.0
#2
1,000.0
#3
636.0
#4
500.0
#5
500.0
#6
405.0
#7
400.0
#8
364.0
#9
342.0
#10
293.0
What city has the Most Births per 1,000 Women in Labor Force in Maryland?
Friendship has the Most Births per 1,000 Women in Labor Force in Maryland with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Maryland?
Number of Births per 1,000 Women in Labor Force in Maryland is 50.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.